Evidence map›Paper›PMID 40436915›Full record

ArticleScientific data2025

Skeletal trait measurements for thousands of bird species.

Brian C Weeks, Zhizhuo Zhou, Charlotte M Probst, Jacob S Berv, Bruce O'Brien, Brett W Benz, Heather R Skeen, Mark Ziebell, Louise Bodt, David F Fouhey

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Determining Morphometric Differences in Domestic Fowl (Animals : an open access journal from MDPI · 2026
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Brian C WeeksSchool for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA. bcweeks@umich.edu.ORCID http://orcid.org/0000-0003-2967-2970
Zhizhuo ZhouSchool of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Charlotte M ProbstSchool for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA.
Jacob S BervSchool for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA.
Bruce O'BrienSchool for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA.
Brett W BenzDepartment of Ecology and Evolutionary Biology and Museum of Zoology, University of Michigan, Ann Arbor, Michigan, USA.
Heather R SkeenDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.
Mark ZiebellSchool for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA.
Louise BodtNegaunee Integrative Research Center, Field Museum of Natural History, Chicago, Illinois, USA.
David F FouheyComputer Science, Courant Institute of Mathematical Sciences, New York University, New York, New York, USA.

Funding

David and Lucile Packard Foundation (David & Lucile Packard Foundation) 2022-74687
6 · The paper itself

Abstract

Large comparative datasets of avian functional traits have been used to address a wide range of questions in ecology and evolution. To date, this work has been constrained by the limited availability of skeletal trait datasets that include extensive inter- and intra-specific sampling. We use computer vision to identify and measure bones from photographs of museum skeletal specimens to assemble an extensive dataset of functionally important skeletal elements in birds. The dataset spans 2,057 species of birds (Aves: Passeriformes) and includes measurements of 12 skeletal elements from 14,419 individuals. In addition to the trait values directly measured from photographs, we leverage the multi-dimensional nature of our dataset and known phylogenetic relationships of the species to impute missing data under an evolutionary model. To facilitate use of the dataset, the taxonomy has been reconciled with an existing comprehensive avian phylogeny and an additional dataset of external functional traits for all birds.

Indexed as

BirdsBone and BonesAnimalsBiological EvolutionPhylogeny

Identifiers

PMID40436915
PMCPMC12119840

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.